Sentiment analysis or opinion mining is the method of deciding the emotions, opinions behind series of words, its
accustomed gain an understanding of the attitudes, opinions and emotions expressed by the people. In recent years, research
work is being performed in these fields by applying numerous methodologies. Sentiment analysis of social media content has
become one of the most sought area among researchers because the number of product review sites, social networking sites,
blogs, and forums are developing extensively. This field mainly utilizes supervised, unsupervised and semi-supervised technique
for this sentiment prediction and classification task. This project studies the inability of widely used feature selection method like
Information gain (IG) on machine learning and deep learning approaches. Initially, feature selection method called information
gain has been used to select the feature subsets.
